Kaggle is a platform to explore our knowledge on Data Science, to learn new techniques or modelling from the experts. Kaggle competitions are the best way to evaluate our skill on competitive environment. Getting a better Kaggle rank is an indication of our hard work and achievement. For this post I will be using the beginner classification …
Exploratory Data Analysis (EDA) is an approach to analysing data sets to summarize their main characteristics, often with visual methods. Following are the different steps involved in EDA : 1. Data Collection 2.Data Cleaning 3.Data Preprocessing 4. Data Visualisation Data Collection Data collection is the process of gathering information in an established systematic way that enables …
This small post provides information on cleaning data by dealing with missing data present in a dataframe. Data cleaning is the process of ensuring that your data is correct and useable by identifying any errors in the data, or missing data by correcting or deleting them. Cleaning up data is the first and most important …